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Profile-guided three-phase virtual resource management for energy efficiency of data centers
Ding, Zhe Tian, Yu-Chu Tang, Maolin Li, Yuefeng Wang, You-Gan Zhou, Chunjie
Ding, Zhe
Tian, Yu-Chu
Tang, Maolin
Li, Yuefeng
Wang, You-Gan
Zhou, Chunjie
Citations
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Author
Ding, Zhe
Tian, Yu-Chu
Tang, Maolin
Li, Yuefeng
Wang, You-Gan
Zhou, Chunjie
Tian, Yu-Chu
Tang, Maolin
Li, Yuefeng
Wang, You-Gan
Zhou, Chunjie
Abstract
Energy efficiency is a critical issue in the management of data centers, which form the backbone of cloud computing. Virtual resource management has a significant impact on improving the energy efficiency of data centers. Despite the progress in this area, virtual resource management has been considered mainly at two separate levels: application assignment and virtual machine placement. It has not been well-investigated in a unified framework for both levels, limiting further improvement in the energy efficiency of data centers. To address this issue, this paper proposes the virtual resource management problem for energy efficiency as a constrained optimization problem. Then, this paper simplifies the problem through profile-guided task classification and problem decomposition for complexity reduction and improved energy efficiency. After that, a three-phase framework and algorithms are presented for profiling and profile updating, task classification and application assignment, and successive virtual machine placement. Experimental studies show energy savings of 8-12% by the three-phase framework compared to the existing technique.
Keywords
data center, energy efficiency, profile, task classification, virtual resource management
Date
2020
Type
Journal article
Journal
IEEE Transactions on Industrial Electronics
Book
Volume
67
Issue
3
Page Range
2460-2468
Article Number
ACU Department
Institute for Learning Sciences and Teacher Education (ILSTE)
Faculty of Education and Arts
Faculty of Education and Arts
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Open Access Status
License
All rights reserved
File Access
Controlled
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